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Record W1965278685 · doi:10.1109/icit.2006.372356

A Novel Control Approach for Unified Power Quality Conditioner Q without Active Power Injection for Voltage Sag Compensation

2006· article· en· W1965278685 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsVoltage sagAC powerVoltage optimisationControl theory (sociology)Power factorCompensation (psychology)Active filterElectronic engineeringVoltageMATLABVoltage regulationHarmonicsEngineeringComputer sciencePower qualityElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper presents a new, simple and effective approach to estimate the required quadrature injected voltage during utility voltage sag condition. This approach helps in voltage sag compensation through reactive power control using series part of unified power quality conditioner, generally termed as UPQC-Q. Thus utility sag compensation can effectively be done without utilizing any active power from source or from inverter side. Moreover, this quadrature voltage injection during voltage sag compensation also helps to improve the source side power factor, which results in reduced shunt active power filter (APF) loading. The voltage harmonic compensation based on d-q transformation simultaneously with voltage sag compensation is also presented. The simulation results based on MATLAB / SIMULINK are discussed to validate the theory presented in the paper.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.273
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations25
Published2006
Admission routes1
Has abstractyes

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